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NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV

A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, PyTorch geometric for Graph Neural Networks, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.

How to download and setup NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV

Open terminal and run command
git clone https://github.com/salinaaaaaa/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV.git
git clone is used to create a copy or clone of NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV https://github.com/salinaaaaaa/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV/archive/master.zip

Or simply clone NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV with SSH
[email protected]:salinaaaaaa/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV.git

If you have some problems with NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV

You may open issue on NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV support forum (system) here: https://github.com/salinaaaaaa/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV/issues

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